Literature DB >> 8873304

Identifying subtypes of schizophrenia by cluster analyses.

S Dollfus1, B Everitt, J M Ribeyre, F Assouly-Besse, C Sharp, M Petit.   

Abstract

The existence of two subtypes of schizophrenia (positive and negative) is well established. The evidence in favor of other subtypes, particularly a disorganized subtype, is still the subject of some debate. The aim of the study reported in this article is to investigate the possibility of further subtypes of schizophrenia by applying a particular method of cluster analysis to a particular set of data. Ward's method of cluster analysis was applied to the Positive and Negative syndrome Scale (PANSS) scores of 138 patients, defined as having schizophrenia by one of four diagnostic criteria. The validity of the cluster solution was assessed both by examining differences between clusters on a number of clinical characteristics recorded for each patient and by comparing the results obtained from the PANSS with those derived from a cluster analysis using two other instruments (the Scale for the Assessment of Negative Symptoms and the Scale for the Assessment of Positive Symptoms). Results from the cluster analysis suggest the existence of at least four subtypes of schizophrenia: positive, negative, mixed, and disorganized. A fifth subtype includes patients with few symptoms, suggesting the simple schizophrenia named by Bleuler. Evidence for the validity of these subtypes was provided by the differences observed between the clusters on a number of clinical characteristics and by the similarity of the cluster solution obtained from the different instruments. In conclusion, the negative-positive dichotomy in schizophrenia is an oversimplification, and the existence of a more complex structure needs to be taken into account in future research.

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Year:  1996        PMID: 8873304     DOI: 10.1093/schbul/22.3.545

Source DB:  PubMed          Journal:  Schizophr Bull        ISSN: 0586-7614            Impact factor:   9.306


  16 in total

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Review 3.  Progress in defining optimal treatment outcome in schizophrenia.

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5.  Listening to Schneiderian Voices: A Novel Phenomenological Analysis.

Authors:  Cherise Rosen; Kayla A Chase; Nev Jones; Linda S Grossman; Hannah Gin; Rajiv P Sharma
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8.  Neurobiological Divergence of the Positive and Negative Schizophrenia Subtypes Identified on a New Factor Structure of Psychopathology Using Non-negative Factorization: An International Machine Learning Study.

Authors:  Ji Chen; Kaustubh R Patil; Susanne Weis; Kang Sim; Thomas Nickl-Jockschat; Juan Zhou; André Aleman; Iris E Sommer; Edith J Liemburg; Felix Hoffstaedter; Ute Habel; Birgit Derntl; Xiaojin Liu; Jona M Fischer; Lydia Kogler; Christina Regenbogen; Vaibhav A Diwadkar; Jeffrey A Stanley; Valentin Riedl; Renaud Jardri; Oliver Gruber; Aristeidis Sotiras; Christos Davatzikos; Simon B Eickhoff
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9.  Utility of Two PANSS 5-Factor Models for Assessing Psychosocial Outcomes in Clinical Programs for Persons with Schizophrenia.

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10.  Mapping brain-behavior space relationships along the psychosis spectrum.

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Journal:  Elife       Date:  2021-07-20       Impact factor: 8.713

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